Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SUTHERLAND Rory | 75 |
| 3 | HEIJBOER Mathieu | 78 |
| 6 | MAASKANT Martijn | 76 |
| 7 | KVASINA Matija | 72 |
| 9 | DEKKER Thomas | 69 |
| 10 | ROOIJAKKERS Piet | 68 |
| 11 | REUS Kai | 70 |
| 13 | FLENS Rick | 82 |
| 14 | GILING Bas | 72 |
| 15 | PEDERSEN Martin | 62 |
| 16 | KOZONTCHUK Dmitry | 75 |
| 18 | BRESCHEL Matti | 70 |